Hello, I'm Isha Chakraborty

Welcome to my website! I’m Isha Chakraborty. I am working on my Ph.D from Rice University where I work with Ashutosh Sabharwal and Guha Balakrishnan. I’m interested in the intersection of machine learning and digital health. I recently won the National Institute of Health + National Library of Medicine’s Gulf Coast Consortia’s Predoctoral fellowship to fully fund my PhD with Biomedical Informatics & Data Science training, collaborating with the Baylor College of Medicine, Neurology and Neurosurgery.

Before Rice, I attended the California Institute of Technology (Caltech) for my undergrad, studying computer science and information & data science, where I was advised by Prof. Adam Blank and worked with Prof. Lior Pachter to generate polygenic risk scores from RNA-seq data for early diagnosis of diseases. I’ve also worked in industry as an intern at Amazon, in the Alexa Devices org where I worked on publishing Alexa device resource updates from multiple devices.


Highlights

Novel Deep Learning Models for Automatic Assessment of Motor Disease Severity in Parkinson’s Disease
Selected as a Spotlight submission at the World Congress on Parkinson's Disease and Related Disorders Conference earlier this year!
National Library of Medicine Training Program in Biomedical Informatics and Data Science Fellow
Awarded prestigious Predoctoral fellowship to fully fund my PhD with Biomedical Informatics & Data Science training, collaborating with the Baylor College of Medicine, Neurology and Neurosurgery

Publications